Youku Dense Caption: A Large-scale Chinese Video Dense Caption Dataset and Benchmarks
Zixuan Xiong, Guangwei Xu, Wenkai Zhang, Yuan Miao, Xuan Wu, LinHai, Ruijie Guo, Hai-Tao Zheng
摘要
With the explosive growth of video content, video captions have emerged as a crucial tool for video comprehension, significantly enhancing the ability to understand and retrieve information from videos. However, most publicly available dense video captioning datasets are in English, resulting in a scarcity of largescale and high-quality Chinese dense video captioning datasets. To address this gap within the Chinese community and to promote the advancement of Chinese multi-modal models, we develop the first, large-scale, and high-quality Chinese dense video captioning dataset, named Youku Dense Caption. This dataset is sourced from Youku, a prominent Chinese video-sharing website. Youku Dense Caption includes 31,466 complete short videos annotated by 311,921 Chinese captions. To the best of our knowledge, it is currently the largest publicly available dataset for fine-grained Chinese video descriptions. Additionally, we establish several benchmarks for Chinese video-language tasks based on the Youku Dense Caption, including retrieval, grounding, and generation tasks. Extensive experiments and evaluations are conducted on existing state-of-the-art multi-modal models, demonstrating the dataset's utility and the potential for further research. The dataset is publicly available at https://github.com/OpenSearch-AI/Youku-Dense-Caption.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了最后一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
它引用的顶会 Paper13
- Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh 等ICML 2021 · 被引用 47,906 次
- LoRA: Low-Rank Adaptation of Large Language ModelsEdward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu 等ICLR 2022 · 被引用 18,833 次
- BERTScore: Evaluating Text Generation with BERTTianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger 等ICLR 2020 · 被引用 8,443 次
- Sigmoid Loss for Language Image Pre-TrainingXiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, Lucas BeyerICCV 2023 · 被引用 2,932 次
- VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language ResearchXin Wang, Jiawei Wu, Jun-Kun Chen, Lei Li 等ICCV 2019 · 被引用 688 次
相关 Paper
- ChinaOpen: A Dataset for Open-world Multimodal LearningAozhu Chen, Ziyuan Wang, Chengbo Dong, Kaibin Tian 等ACM MM 2023 · 被引用 8 次
- Large-Scale Pre-Training for Grounded Video Caption GenerationEvangelos Kazakos, Cordelia Schmid, Josef SivicICCV 2025
- DeVAn: Dense Video Annotation for Video-Language ModelsTingkai Liu, Yunzhe Tao, Haogeng Liu, Qihang Fan 等ACL 2024 · 被引用 1 次
- Search-oriented Micro-video CaptioningLiqiang Nie, Leigang Qu, Dai Meng, Min Zhang 等ACM MM 2022 · 被引用 30 次
- CNVid-3.5M: Build, Filter, and Pre-Train the Large-Scale Public Chinese Video-Text DatasetTian Gan, Qing Wang, Xingning Dong, Xiangyuan Ren 等CVPR 2023
